Training Program in Comparative Effectiveness Research for Suicide Prevention
自杀预防比较有效性研究培训计划
基本信息
- 批准号:10403745
- 负责人:
- 金额:$ 31.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-01 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Project Summary
This application is being submitted for a new Training Program in Comparative Effectiveness Research for
Suicide Prevention that will be offered by the Department of Epidemiology at the Harvard T.H. Chan School of
Public Health with predocs also coming from the Department of Psychology in the Faculty of Arts and Sciences
(FAS) at Harvard University and postdocs from the Department of Psychiatry at Harvard Medical School
(HMS). The principal objectives of the Training Program will be to educate a new generation of promising
interdisciplinary pre- and post-doctoral trainees in the use of cutting-edge methodology for comparative
effectiveness research (CER) focused on clinical and policy interventions aimed at reducing suicides and
suicide-related behaviors (SRBs; ideation, plans, attempts, other self-injurious behaviors). The application
builds on the combined strengths of the epidemiologic methods program in the Epidemiology Department and
the strong collaborative research program on suicide prevention across several Departments at Harvard. We
aim to train subject matter specialists (clinical psychologists, psychiatric epidemiologists, psychiatrists) in
cutting-edge CER methods and to provide trainees who are going to become CER methodologists with the
intensive subject matter exposure in suicide prevention research needed to encourage their continued focus on
suicides and SRBs in their future studies. All trainees will complete a rigorous core set of courses in modern
CER methods as well as receive in-depth training in current theories and empirical CER studies aimed at
preventing suicides and SRBs. An extensive network of collaboration exists among training faculty members
with each other and with external collaborating in numerous high-profile CER studies focused on interventions
to reduce suicides and SRBs. These projects will provide trainees with a rich array of mentored research
training opportunities. We are requesting support for a total of six trainees: three predoctoral and three
postdoctoral. Training will be a combination of coursework, training seminars led by core faculty, practica, and
mentored research training in which CER methods are applied to important projects involving the prevention of
suicides and SRBs. Diversity and health disparities will be major foci.
项目概要
本申请是为了一项新的比较有效性研究培训计划而提交的
自杀预防将由哈佛大学公共卫生学院流行病学系提供。陈氏学院
公共卫生与博士预科也来自艺术与科学学院心理学系
哈佛大学 (FAS) 博士和哈佛医学院精神病学系博士后
(英国皇家海军舰艇)。培训计划的主要目标是培养新一代有前途的人才
跨学科博士前和博士后培训生使用前沿方法进行比较
有效性研究(CER)侧重于旨在减少自杀和自杀的临床和政策干预措施
自杀相关行为(SRB;意念、计划、尝试、其他自残行为)。应用
建立在流行病学部门流行病学方法计划的综合优势和
哈佛大学多个系之间关于预防自杀的强有力的合作研究项目。我们
旨在培训主题专家(临床心理学家、精神病流行病学家、精神病学家)
尖端的 CER 方法,并为将成为 CER 方法学家的学员提供
需要深入了解自杀预防研究的主题,以鼓励他们继续关注
自杀和SRBs在他们未来的研究中。所有学员都将完成一套严格的现代核心课程
CER 方法以及接受当前理论和实证 CER 研究的深入培训,旨在
预防自杀和 SRB。培训教员之间存在广泛的合作网络
相互之间以及与外部合作开展大量关注干预措施的备受瞩目的 CER 研究
减少自杀和 SRB。这些项目将为学员提供丰富的指导研究
培训机会。我们请求为总共六名学员提供支持:三名博士生和三名
博士后。培训将结合课程作业、由核心教师主持的培训研讨会、实践和
指导研究培训,其中 CER 方法应用于涉及预防的重要项目
自杀和SRB。多样性和健康差异将成为主要焦点。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('MIGUEL HERNAN', 18)}}的其他基金
Training Program in Comparative Effectiveness Research for Suicide Prevention
自杀预防比较有效性研究培训计划
- 批准号:
10657452 - 财政年份:2022
- 资助金额:
$ 31.31万 - 项目类别:
Laboratory for Early Psychosis Research (LEAP)
早期精神病研究实验室 (LEAP)
- 批准号:
10376216 - 财政年份:2019
- 资助金额:
$ 31.31万 - 项目类别:
Laboratory for Early Psychosis Research (LEAP)
早期精神病研究实验室 (LEAP)
- 批准号:
10559013 - 财政年份:2019
- 资助金额:
$ 31.31万 - 项目类别:
Comparative effectiveness of pharmacologic strategies to treat first episode psychosis
治疗首发精神病的药物策略的有效性比较
- 批准号:
10623806 - 财政年份:2019
- 资助金额:
$ 31.31万 - 项目类别:
Laboratory for Early Psychosis Research (LEAP)
早期精神病研究实验室 (LEAP)
- 批准号:
10001157 - 财政年份:2019
- 资助金额:
$ 31.31万 - 项目类别:
Laboratory for Early Psychosis Research (LEAP)
早期精神病研究实验室 (LEAP)
- 批准号:
10623802 - 财政年份:2019
- 资助金额:
$ 31.31万 - 项目类别:
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